Calculate the cost of using qwen3-235b-a22b-2507 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 16,384 tokens
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qwen3-235b-a22b-2507 is a chat model from OpenRouter, one of 351 chat models they offer. It is priced at $0.09 per 1M input tokens and $0.10 per 1M output tokens, ranking 216 out of 2292 chat models by cost and cheaper than 90% of models in this category. qwen3-235b-a22b-2507 supports function calling, structured output. Its 262K-token context window is in the top 25% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 16,384 tokens.
At $0.09 per 1M input tokens and $0.10 per 1M output tokens, qwen3-235b-a22b-2507 ranks 216 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 90% of models in this category.
qwen3-235b-a22b-2507 is one of 351 OpenRouter chat models, with support for function calling, structured output. its 262K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-235b-a22b-2507 |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | +11% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | +11% |
| eu.amazon.nova-lite-v1:0 | AWS Bedrock | $0.08 | $0.31 | -13% |
Similar chat models from other providers
Yes. qwen3-235b-a22b-2507 costs $0.09 per 1M input tokens compared to gpt-4.1-nano's $0.10 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
qwen3-235b-a22b-2507 input pricing is $0.09 per 1M tokens, which is 84% below the median of $0.55 for chat models. It ranks 216 out of 2292 chat models by input cost, making it cheaper than 90% of models in this category. For output, it costs $0.10 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 351 chat models, qwen3-235b-a22b-2507 ranks 53 by input cost.
The most comparable chat models to qwen3-235b-a22b-2507 are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); eu.amazon.nova-lite-v1:0 from AWS Bedrock ($0.08/1M input tokens); meta-llama-3.1-8b-instruct from FriendliAI ($0.10/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
qwen3-235b-a22b-2507 supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 459 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen3-235b-a22b-2507 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.09 and generating 1M output tokens costs $0.10.
